Linked Life Data

12695888

Source:http://linkedlifedata.com/resource/pubmed/id/12695888

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-9-23
pubmed:abstractText
As the numbers of middle-aged and elderly mountain climbers have increased with the general aging of the population, accidents during mountain climbing have increased recently. A possible cause of such accidents is an excessively difficult expedition plan. To enjoy safe mountain climbing, the plans must take account of the climber's fitness level. We developed a method to plan mountain climbing using the climbing heartbeat index (CHI). This study is based on the assumption that the work expended when climbing a mountain is equal to the potential energy of the body and load weights elevated to the height of the mountain, and that the work is proportional to the heart rate. The CHI was calculated by the following equation The CHI values examined in this study ( n = 94) showed very small standard deviations and were significantly correlated with the maximum oxygen uptake, .VO(2 max) (ml kg(-1) min(-1)) ( r = -0.934, P < 0.01); it showed a characteristic value corresponding to the fitness level in each subject. In addition, this value remained nearly unchanged even when the load was changed. Therefore, if the CHI value of an individual is known (it can be estimated from .VO(2 max)), safer mountain climbing can be planned accordingly. Once determined, this CHI value can be used repeatedly unless the fitness level of the individual changes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0020-7128
pubmed:author
pubmed:issnType
Print
pubmed:volume
48
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
15-9
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Safer mountain climbing using the climbing heartbeat index.
pubmed:affiliation
Department of Sports Medicine, Research Center on Aging and Adaptation, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto 390-8621, Japan. akio@sch.md.shinshu-u.ac.jp
pubmed:publicationType
Journal Article